Data Delivery Head - Data & Data Science Delivery Leader (14-20 yrs)

Summary of Expectations: a Data & Data Science Delivery Leader is one who is responsible for leading the delivery of Data, BI and Data Science projects, associated efficiency, creating customer delight, innovation and value delivery for one or more customers. In this role, you will be accountable for ensuring that value is delivered to the customer, such that they realize that "we are their premier partner for Data, BI and Data Science related solutions" and become referenceable - this is an end-to-end responsibility starting from selecting and onboarding appropriate associates into the team, mentoring them on our client's values (Excellence, Care & Outcome-Focused), caring for the customer's business needs and to expand our footprint within the customer environment. You also liaise with the leadership on both customer and client side providing with roadmap, solutions that ead to tangible business benefits for both.

Here is a more detailed description of responsibilities and activities.

Project Management

- Lead complex data projects from inception to completion, ensuring timely delivery within budget and scope and defect free

- Develop detailed project plans, sprint backlogs, and work schedules

- Coordinate day-to-day activities and prioritize requirements across multiple projects

- Be acutely aware of dependencies internally and externally; strive hard to solve for them, through a fast forward and get-the-job-done approach

- Identify and mitigate risks to project delivery

Stakeholder Management

- Collaborate closely with project sponsors, business stakeholders, and technical teams - know when to talk over a call, when to write an email or post a message on Team

- Facilitate communication between various parties involved in data initiatives

- Tailor the process of documenting business requirements and user stories to specific customer scenarios, conduct appropriate discovery workshops

- Coordinate interactions with business units and external partners

Team Leadership

- Manage and motivate cross-functional data delivery teams

- Assign responsibilities and resources to team members, track them to closure

- Provide mentorship and guidance to junior team members

- Promote a culture of continuous learning and improvement through the "Continuous Neo Development program"

Technical Involvement

- Mentor associates on technical challenges, by being hands-on and with a sit-next-to-each other-to-resolve attitude

- Ensure the delivery of high-quality data solutions that meet business needs

- Stay current with emerging data technologies and best practices

- Support key solution architecture decisions and technology choices Performance Management

- Monitor and report on project progress, budget, and utilization - solve or critical issues that arise as part of performance management

- Monitor, support and mentor associates to consistently improve on their performance

- Implement and track key performance indicators (KPIs) for data initiatives

- Drive process improvements and efficiency gains in data delivery

Qualifications

- Bachelor's degree in Computer Science, Information Systems, or related field

- 8+ years of experience in data-related roles, with at least 3 years in project management or leadership positions

- Strong understanding of one or more data technologies such as Snowflake, Databricks, Microsoft Fabric, including cloud platforms (e.g.,Google Cloud Platform, AWS, Azure)

- Expertise in data engineering, business intelligence, and analytics

- Proficiency in project management methodologies (e.g., Agile, Waterfall)

- Excellent communication and interpersonal skills

- Proven ability to lead and motivate teams in a fast-paced environment

- Strong problem-solving and analytical skills

Preferred Skills

- Advanced degree in a relevant field

- Professional certifications (e.g., PMP, PRINCE2, Scrum Master)

- Experience with data governance and compliance requirements

- Familiarity with machine learning and AI technologies including GenAI

- Knowledge of data visualization tools (e.g., Tableau, Power BI)